L,L-二氨基庚二酸氨基转移酶(DapL)途径,最近发现的赖氨酸生物合成途径的变体,是一个有吸引力的管道,以确定新的抗生素化合物的发展目标。DapL是催化四氢吡啶二羧酸酯转化为L的同二聚体,L-二氨基庚二酸酯在单个氨基转移反应中。赖氨酸生物合成途径的倒数第二和最终产物,内消旋二氨基庚二酸和赖氨酸,是革兰氏阴性和革兰氏阳性细菌肽聚糖细胞壁的关键组分。人类不能合成赖氨酸,DapL已在13%的细菌中被鉴定,其基因组已被测序和注释,因此,它是通过防止赖氨酸生物合成和肽聚糖交联来开发窄谱抗生素的一个有吸引力的目标。为了解决在进行化合物筛选实验时结构信息普遍缺乏的问题,并为建模结构的使用提供支持,我们的分析利用了相关同源酶的推断结构。使用一个全面和比较的分子动力学(MD)软件包-DROIDS(检测动态模拟中的相对异常影响)2.0,我们研究了四个先前鉴定的来自刺槐的DapL拮抗配体的结合动力学,沙眼衣原体的非致病性亲属。这里,我们提供了四个配体的推定对接位置,并提供了支持构象的验证性比较分子动力学模拟。在本研究中进行的模拟可以应用于评估推定的靶标,以在体内和体外实验之前预测化合物的有效性。此外,这种方法有可能简化抗生素开发过程.
The L,L-diaminopimelate aminotransferase (DapL) pathway, a recently discovered variant of the lysine biosynthetic pathway, is an attractive pipeline to identify targets for the development of novel antibiotic compounds. DapL is a homodimer that catalyzes the conversion of tetrahydrodipicolinate to L,L-diaminopimelate in a single transamination reaction. The penultimate and ultimate products of the lysine biosynthesis pathway, meso-diaminopimelate and lysine, are key components of the Gram-negative and Gram-positive bacterial
peptidoglycan cell wall. Humans are not able to synthesize lysine, and DapL has been identified in 13% of bacteria whose genomes have been sequenced and annotated to date, thus it is an attractive target for the development of narrow spectrum antibiotics through the prevention of both lysine biosynthesis and
peptidoglycan crosslinking. To address the common lack of structural information when conducting compound screening experiments and provide support for the use of modeled structures, our analyses utilized inferred structures from related homologous enzymes. Using a comprehensive and comparative molecular dynamics (MD) software package-DROIDS (Detecting Relative Outlier Impacts in Dynamic Simulations) 2.0, we investigated the binding dynamics of four previously identified antagonistic ligands of DapL from Verrucomicrobium spinosum, a non-pathogenic relative of Chlamydia trachomatis. Here, we present putative docking positions of the four ligands and provide confirmatory comparative molecular dynamics simulations supporting the conformations. The simulations performed in this study can be applied to evaluate putative targets to predict compound effectiveness prior to in vivo and in vitro experimentation. Moreover, this approach has the potential to streamline the process of antibiotic development.